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JMLR
2006
92views more  JMLR 2006»
13 years 9 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...
ENTCS
2007
115views more  ENTCS 2007»
13 years 9 months ago
Self Management and the Future of Software Design
Most software is fragile: even the slightest error, such as changing a single bit, can make it crash. As software complexity has increased, development techniques have kept pace t...
Peter Van Roy
JUCS
2006
95views more  JUCS 2006»
13 years 9 months ago
Fault Tolerant Neural Predictors for Compression of Sensor Telemetry Data
: When dealing with remote systems, it is desirable that these systems are capable of operation within acceptable levels with minimal control and maintenance. In terms or transmiss...
Rajasvaran Logeswaran
PR
2008
154views more  PR 2008»
13 years 9 months ago
Data-driven decomposition for multi-class classification
This paper presents a new study on a method of designing a multi-class classifier: Data-driven Error Correcting Output Coding (DECOC). DECOC is based on the principle of Error Cor...
Jie Zhou, Hanchuan Peng, Ching Y. Suen
SIGPRO
2008
111views more  SIGPRO 2008»
13 years 9 months ago
Extension of the local subspace method to enhancement of speech with colored noise
Based on dynamic features of human speech, the local projection (LP) method has been adapted to the enhancement of speech corrupted by white noise. As an extension of the LP metho...
Junfeng Sun, Jie Zhang, Michael Small